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Quick seismic response estimation of prestressed concrete bridges using artificial neural networks

Author
JENG, Chyuan-Hwan1 ; MO, Y. L2
[1] Dept. of Civil Engineering, National Chi Nan Univ., Nantou County, Taiwan, Province of China
[2] Dept. of Civil and Environmental Engineering, Univ. of Houston, Houston, TX. 77204-4003, United States
Source

Journal of computing in civil engineering. 2004, Vol 18, Num 4, pp 360-372, 13 p ; ref : 20 ref

CODEN
JCCEE5
ISSN
0887-3801
Scientific domain
Civil engineering; Computer science
Publisher
American Society of Civil Engineers, Reston, VA
Publication country
United States
Document type
Article
Language
English
Author keyword
Seismic response; Concrete concrete; Neural networks; Taiwan; Earthquakes prestressed; Bridges
Keyword (fr)
Action séisme Analyse structurale Béton précontraint Etude comparative Modélisation Pont Réponse dynamique Réseau neuronal
Keyword (en)
Earthquake effect Structural analysis Prestressed concrete Comparative study Modeling Bridges Dynamic response Neural network
Keyword (es)
Acción sismo Análisis estructural Hormigón pretensado Estudio comparativo Modelización Puente Respuesta dinámica Red neuronal
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D14 Buildings. Public works / 001D14C Structural analysis. Stresses / 001D14C02 Stresses. Safety

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D14 Buildings. Public works / 001D14F Geotechnics / 001D14F06 Structure-soil interaction

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D14 Buildings. Public works / 001D14M Bridges / 001D14M05 Concrete bridges

Discipline
Building. Public works. Transport. Civil engineering
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16196633

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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